Large Language Models

Vercel AI SDK gives you streaming LLM responses, tool calling, structured output, and framework integrations. Build ChatGPT-like apps in hours. Why AI SDK Calli

Isara, a San Francisco startup that is building software to coordinate thousands of AI agents on complex analytical tasks, has raised $94 million at a $650 mill

With an uptick in AI services worldwide, it's becoming more difficult to keep them all in one place, which is why an app like Noi is ideal.

Ripple and Stellar founder Jed McCaleb wants to build AGI by studying how the brain learns—then translating those rules into AI.

Sephora has become the latest retailer to embrace AI checkout services but it is far from alone in using chat services to try and enhance its customer service.

Your daily LinkedIn posts are waiting in conversations you already had. Build the AI workflow that turns raw ideas into scheduled content weekly.

Codex's new plugins push it beyond coding and position it to challenge Claude Code's growing lead among developers.

A cyber attack hit LiteLLM, an open-source library used in many AI systems, carrying malicious code that stole credentials such as environment variables, SSH ke

Cognitive behavioral scientists from the Wharton School of Business conducted experiments to explore how much of our decision-making we’re willing to turn over

This guide breaks down how to build HIPAA-compliant AI agents in healthcare, covering BAAs, PHI handling, Safe Harbor de-identification, and FHIR-based data min

OpenAI announced they are extending the Responses API to make it easier for developer to build agentic workflows, adding support for a shell tool, a built-in ag

Creating an AI agent for tasks like analyzing and processing documents autonomously used to require hours of near-endless configuration, code orchestration, and

The AI Doc: Or How I Became an Apocaloptimist seeks the middle ground on a polarizing technology—and ends up letting tech execs like Sam Altman off the hook.

Deepfake X-rays generated by ChatGPT deceived expert doctors raising questions about insurance claims, cybersecurity and legal cases.

Ads are rolling out across the US on ChatGPT’s free tier. I asked OpenAI's bot 500 questions to see what these ads were like and how they related to my prompts.

RecallNote is an AI-powered EdTech tool that transforms study notes into personalized summaries and flashcards using Google’s LearnLM. Built around spaced repet

Wikipedia's new AI guidelines prohibit editors from using LLMs for writing or rewriting content, with two exceptions. The post Wikipedia Bans Use Of AI-Generate

You open Claude Code. You work for an hour — refactoring, debugging, building something real. You close the terminal. Next morning you type claude and... it has

Claude Code Is Trending — Here's the AI API Stack Developers Are Building With in 2026 Claude Code just got a massive upgrade. With /loop scheduled tasks, Compu

The most dangerous idea in AI isn't superintelligence. It's the quiet, creeping assumption that creativity was never real to begin with. I've been thinking abou

On March 25, 2026, Callum McMahon at futuresearch.ai published a minute-by-minute incident transcript of his team's response to the LiteLLM supply chain comprom

The regulatory landscape for AI has never been more complex. The EU AI Act is now in active enforcement for high-risk AI systems. Data privacy regulators across

OpenClaw is a powerful AI chat tool that lets you control your agent from the command line. The latest version of OpenClaw includes new features that make it ev

Lawmakers are making mistakes when creating new AI laws. They often fail to distinguish purpose-built AI vs general-purpose AI. Here's the problems. An AI Insid

This article explores why the enterprise orchestration layer may become the most valuable position in AI and what it means for the future of work, software &amp

arXiv:2603.24621v1 Announce Type: new Abstract: We introduce ARC-AGI-3, an interactive benchmark for studying agentic intelligence through novel, abstract, turn

arXiv:2603.24676v1 Announce Type: new Abstract: Multi-agent systems powered by large language models (LLMs) are increasingly deployed in settings that shape con

arXiv:2603.24736v1 Announce Type: new Abstract: In the design and safety analysis of advanced reactor systems, constructing input files for system-level thermal

arXiv:2603.24742v1 Announce Type: new Abstract: AI safety is an increasingly urgent concern as the capabilities and adoption of AI systems grow. Existing evolut

arXiv:2603.24747v1 Announce Type: new Abstract: The emergence of large language model agents capable of invoking external tools has created urgent need for form

arXiv:2603.24768v1 Announce Type: new Abstract: The engineering design research community has studied agentic AI systems that use Large Language Model (LLM) age

arXiv:2603.24787v1 Announce Type: new Abstract: Routing has emerged as a promising strategy for balancing performance and cost in large language model (LLM) sys

arXiv:2603.24856v1 Announce Type: new Abstract: Emergency response systems generate data from many agencies and systems. In practice, correlating and updating t

arXiv:2603.24866v1 Announce Type: new Abstract: The physical world is not merely visual; it is governed by rigorous structural and procedural constraints. Yet,

arXiv:2603.24904v1 Announce Type: new Abstract: We prove that platform-deterministic inference is necessary and sufficient for trustworthy AI. We formalize this

arXiv:2603.24929v1 Announce Type: new Abstract: Understanding and quantifying uncertainty in large language model (LLM) outputs is critical for reliable deploym

arXiv:2603.24943v1 Announce Type: new Abstract: This paper introduces \textbf{FinMCP-Bench}, a novel benchmark for evaluating large language models (LLMs) in so

arXiv:2603.24947v1 Announce Type: new Abstract: This paper provides some of the first large-scale descriptive evidence on how consumers adopt and use platform-e

arXiv:2603.24961v1 Announce Type: new Abstract: Assessing student handwritten scratchwork is crucial for personalized educational feedback but presents unique c

arXiv:2603.24963v1 Announce Type: new Abstract: Modern computational advertising platforms typically rely on recommendation systems to predict user responses, s

arXiv:2603.24967v1 Announce Type: new Abstract: Understanding why a large language model (LLM) is uncertain about the response is important for their reliable d

arXiv:2603.25001v1 Announce Type: new Abstract: Failure attribution is essential for diagnosing and improving multi-agent systems (MAS), yet existing benchmarks

arXiv:2603.25022v1 Announce Type: new Abstract: Knowledge distillation, model extraction, and behavior transfer have become central concerns in frontier AI. The

arXiv:2603.25031v1 Announce Type: new Abstract: In psychological support and emotional companionship scenarios, the core limitation of large language models (LL

arXiv:2603.25035v1 Announce Type: new Abstract: Compressed vision-language models (VLMs) are widely used to reduce memory and compute costs, making them a suita

arXiv:2603.25075v1 Announce Type: new Abstract: Sparse autoencoders (SAEs) improve interpretability in multimodal models, but it remains unclear whether SAE fea

arXiv:2603.25097v1 Announce Type: new Abstract: Large Language Model based agents increasingly operate in high stakes, multi turn settings where factual groundi

arXiv:2603.25115v1 Announce Type: new Abstract: Few-Shot Class-Incremental Learning (FSCIL) can be particularly susceptible to acquisition contexts with only a